Adaptive Federated Deep Reinforcement Learning for Proactive Content Caching in Edge Computing-Reference-Cited by-同舟云学术

Adaptive Federated Deep Reinforcement Learning for Proactive Content Caching in Edge Computing

Published:2022-12-01 Issue:12 Volume:33 Page:4767-4782
ISSN:1045-9219
Container-title:IEEE Transactions on Parallel and Distributed Systems
language:
Short-container-title:IEEE Trans. Parallel Distrib. Syst.

Author:

Qiao Dewen¹,Guo Songtao¹^ORCID,Liu Defang²,Long Saiqin³^ORCID,Zhou Pengzhan¹^ORCID,Li Zhetao³^ORCID

Affiliation:

1. Key Laboratory of Dependable Service Computing in Cyber-Physical-Society (Ministry of Education), College of computer science, Chongqing University, Chongqing, China

2. Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, China

3. National & Local Joint Engineering Research Center of Network Security Detection and Protection Technology, Guangdong Provincial Key Laboratory of Data Security and Privacy Protection College of Information Science and Technology, Jinan University, Guangzhou, China

Funder

Natural Science Key Foundation of Chongqing

National Key Research and Development Program of China

National Natural Science Foundation of China

Hunan Science and Technology Planning Project

Hunan Province Department of Education

Natural Science Foundation of Hunan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Hardware and Architecture,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/71/9790018/09868114.pdf?arnumber=9868114

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